Modelo de clasificación basado en chatbot y algoritmos no supervisados para determinar programas de intervención psicológica en estudiantes universitarios peruanos
A strategy that supports the student’s academic and personal formation is that university consider tutoring as a mechanism that supports with favorable results to fight against the desertion of students. However, there are related prob-lems in performing student segmentation and conducting psycholog...
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| Autores principales: | , |
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| Otros Autores: | |
| Formato: | Tesis de maestría |
| Lenguaje: | inglés |
| Publicado: |
Universidad Peruana Unión
2022
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| Materias: | |
| Acceso en línea: | Enlace permanente (DOI o Handle) |
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| _version_ | 1881510507754553344 |
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| author | Huamán Labán, Joyse Baldwin Gómez Apaza, Roel Dante |
| author2 | Lévano Rodríguez, Danny |
| author_browse | Gómez Apaza, Roel Dante Huamán Labán, Joyse Baldwin Lévano Rodríguez, Danny |
| author_facet | Lévano Rodríguez, Danny Huamán Labán, Joyse Baldwin Gómez Apaza, Roel Dante |
| author_sort | Huamán Labán, Joyse Baldwin |
| collection | Repositorio institucional |
| description | A strategy that supports the student’s academic and personal formation is that university consider tutoring as a mechanism that supports with favorable results to fight against the desertion of students. However, there are related prob-lems in performing student segmentation and conducting psychological interven-tions. The objective was to formulate a classification model for intervention pro-grams in university students based on unsupervised algorithms. For this, we car-ried out a non-experimental, simple descriptive study on a population of 60 uni-versity students; we carried out the data extraction process through a chatbot that applied the BarOn ICE test. After we obtained the data, the unsupervised k-means algorithm was used to group the students into sets determined based on the closest mean value obtained from the psychological test. We built a model for classifying students based on their answers to the BarOn ICE test based on K-means, with which we obtained five groups. The model classifies students by applying a dif-ferent mathematical method to that used by the models applied by psychologists. |
| escuela_str_mv | Escuela de Posgrado |
| format | info:eu-repo/semantics/masterThesis |
| id | oai:repositorio.upeu.edu.pe:20.500.12840/5629 |
| institution | UPeU |
| language | English |
| linea_str_mv | Gestión de TI |
| ocde_area_str_mv | Ingeniería y tecnología |
| ocde_disciplina_str_mv | Ingeniería eléctrica, electrónica e informática |
| ocde_str_mv | 2.02.04 |
| programa_nombre_str_mv | Maestría en Ingeniería de Sistemas con Mención en Dirección y Gestión de Tecnologías de Información |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Universidad Peruana Unión |
| publisherStr | Universidad Peruana Unión |
| record_format | dspace |
| sede_str_mv | Lima |
| spelling | Modelo de clasificación basado en chatbot y algoritmos no supervisados para determinar programas de intervención psicológica en estudiantes universitarios peruanos Huamán Labán, Joyse Baldwin Gómez Apaza, Roel Dante Lévano Rodríguez, Danny Valles Coral, Miguel Ángel Automated classification Artificial intelligence Grouping K-means University tutoring A strategy that supports the student’s academic and personal formation is that university consider tutoring as a mechanism that supports with favorable results to fight against the desertion of students. However, there are related prob-lems in performing student segmentation and conducting psychological interven-tions. The objective was to formulate a classification model for intervention pro-grams in university students based on unsupervised algorithms. For this, we car-ried out a non-experimental, simple descriptive study on a population of 60 uni-versity students; we carried out the data extraction process through a chatbot that applied the BarOn ICE test. After we obtained the data, the unsupervised k-means algorithm was used to group the students into sets determined based on the closest mean value obtained from the psychological test. We built a model for classifying students based on their answers to the BarOn ICE test based on K-means, with which we obtained five groups. The model classifies students by applying a dif-ferent mathematical method to that used by the models applied by psychologists. 2022-03-03 2022-07-26T13:42:20Z 2022-07-26T13:42:20Z info:eu-repo/semantics/masterThesis https://hdl.handle.net/20.500.12840/5629 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/3.0/es/ application/pdf Universidad Peruana Unión PE oai:repositorio.upeu.edu.pe:20.500.12840/5629 2026-11-10T17:45:09Z |
| spellingShingle | Automated classification Artificial intelligence Grouping K-means University tutoring Huamán Labán, Joyse Baldwin Gómez Apaza, Roel Dante Modelo de clasificación basado en chatbot y algoritmos no supervisados para determinar programas de intervención psicológica en estudiantes universitarios peruanos |
| title | Modelo de clasificación basado en chatbot y algoritmos no supervisados para determinar programas de intervención psicológica en estudiantes universitarios peruanos |
| title_full | Modelo de clasificación basado en chatbot y algoritmos no supervisados para determinar programas de intervención psicológica en estudiantes universitarios peruanos |
| title_fullStr | Modelo de clasificación basado en chatbot y algoritmos no supervisados para determinar programas de intervención psicológica en estudiantes universitarios peruanos |
| title_full_unstemmed | Modelo de clasificación basado en chatbot y algoritmos no supervisados para determinar programas de intervención psicológica en estudiantes universitarios peruanos |
| title_short | Modelo de clasificación basado en chatbot y algoritmos no supervisados para determinar programas de intervención psicológica en estudiantes universitarios peruanos |
| title_sort | modelo de clasificacion basado en chatbot y algoritmos no supervisados para determinar programas de intervencion psicologica en estudiantes universitarios peruanos |
| topic | Automated classification Artificial intelligence Grouping K-means University tutoring |
| topic_facet | Automated classification Artificial intelligence Grouping K-means University tutoring |
| url | https://hdl.handle.net/20.500.12840/5629 |
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